Yu Fan Chen

About

Yu Fan Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Yu Fan Chen has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Automotive Engineering. Recurrent topics in Yu Fan Chen’s work include Reinforcement Learning in Robotics (8 papers), Robotic Path Planning Algorithms (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). Yu Fan Chen is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Robotic Path Planning Algorithms (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). Yu Fan Chen collaborates with scholars based in United States, Australia and France. Yu Fan Chen's co-authors include Jonathan P. How, Michael Everett, Miao Liu, Miao Liu, John Vian, Nazım Kemal Üre, Girish Chowdhary, Shih‐Yuan Liu, Miao Liu and Justin Miller and has published in prestigious journals such as IEEE Access, IEEE Control Systems and Journal of Intelligent & Robotic Systems.

In The Last Decade

Co-authorship network of co-authors of Yu Fan Chen i

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Fields of papers citing papers by Yu Fan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Fan Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Fan Chen. The network helps show where Yu Fan Chen may publish in the future.

Countries citing papers authored by Yu Fan Chen

Since Specialization

Citations

This map shows the geographic impact of Yu Fan Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Fan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Fan Chen more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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